Fingerprint, a leader in device intelligence, released its latest report, “Scaling Trust in Digital Finance.” The research highlights an inflection point for neobanks: digital-first institutions have become primary targets for sophisticated fraud syndicates using AI-driven synthetic identities and advanced account takeover (ATO) techniques.
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Digital-first financial institutions are transitioning from secondary tools to primary banking relationships. The number of neobanking customers worldwide has reached approximately 1.1 billion, up 30% in just 18 months. This rapid scale has fundamentally reshaped the fraud surface.
Fingerprint’s report highlights a shift from isolated fraud incidents to coordinated, AI-enabled schemes.
Key findings include:
- Synthetic Identity Crisis: Fraudsters are increasingly using a mix of real and fabricated data to bypass onboarding checks, with losses projected to exceed $23 billion by 2030.
- APP Fraud Surge: Authorized Push Payment (APP) fraud, in which users are manipulated into authorizing transactions, could reach $18.2 billion by 2028 if AI-driven scams continue to intensify.
- The BNPL Risk: Fraud rates in Buy Now, Pay Later (BNPL) transactions are now up to six times higher than traditional credit card fraud, driven by streamlined onboarding and high-speed approvals.
Scaling Trust in Digital Finance argues that traditional, point-in-time fraud checks (like those at login or signup) are no longer sufficient in 2026. With 51% of all web traffic now automated, legacy solutions generate excessive noise.
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